Background: Network communities help the functional organization and evolution of complex networks. However, the development of a method, which is both fast and accurate, provides modular overlaps and partitions of a heterogeneous network, has proven to be rather difficult.

Methodology/Principal Findings: Here we introduce the novel concept of ModuLand, an integrative method family determining overlapping network modules as hills of an influence function-based, centrality-type community landscape, and including several widely used modularization methods as special cases. As various adaptations of the method family, we developed several algorithms, which provide an efficient analysis of weighted and directed networks, and (1) determine overlapping modules with high resolution; (2) uncover a detailed hierarchical network structure allowing an efficient, zoom-in analysis of large networks; (3) allow the determination of key network nodes and (4) help to predict network dynamics.

Conclusions/Significance: The concept opens a wide range of possibilities to develop new approaches and applications including network routing, classification, comparison and prediction.

Revised Suppl. Table 2. We noted
in the PLoS ONE paper that despite of our efforts - regretfully - a few errors occurred in the original Supplementary Table 2. Also, the original Supplementary Table 2 missed a few modularization methods. Thanking for the advice of our colleagues we have revised this Table, and placed the revised version here. Download it! In case of any further errors or missing methods feel free to contact us at csermely@eok.sote.hu

A detailed User Guide to use the ModuLand program package. Download it!

The ModuLand algorithm package described in the User Guide also including all network data used in the manuscript. (Please note that a Linux-based operating system is required for running the ModuLand programs included. Alternatively, a prebuilt VirtualBox Image is available for running the ModuLand programs on your computer.) Register and download!